Analyzing cropland fragmentation evolution and driving mechanisms in Shandong through MSPA and landscape metrics integration

Analyzing cropland fragmentation evolution and driving mechanisms in Shandong through MSPA and landscape metrics integration

Abstract As the foundational and core resource for agricultural development, arable land plays a critical role in optimizing regional agricultural resource allocation and ensuring food security. This study employs Morphological Spatial Pattern Analysis (MSPA) and the Landscape Pattern Index (LPI) to...

Full description

Saved in:
Bibliographic Details
Main Authors: Tianwei Zhang, Wei Li, Zengfeng Zhao, Meizhen Bi, Yi Zheng
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Cultivated land
MSPA
Landscape pattern index
Bivariate spatial autocorrelation
SOM clustering
MGWR
Online Access:https://doi.org/10.1038/s41598-025-05964-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items